Description

By completing this course, participants can get a strong foundation in IoT principles, technology, and applications as well as be ready for future employment prospects in the quickly expanding IoT industry. For someone eager to explore the possibilities of IoT, a recent graduate, or a professional looking to upskill, this course can be a valuable first step towards a successful career in the field. Enrolling in this course benefits participants for the following reasons: (i) The course offers a thorough overview of the Internet of Things, including information on its foundational concepts, device design process, communication protocols, business use cases, security, and future developments. (ii) Participants obtain important practical skills that may be used in real-world IoT applications by learning how to program IoT devices and interface them with microcontrollers, acquiring useful practical skills that are applicable to IoT projects in the real world. (iii) The course examines IoT applications and business use cases across a range of industries, including the many kinds of sensors, actuators, and microcontrollers utilized in IoT installations. (iv) Understanding communication protocols is essential to comprehending how Internet of Things devices interact and share data within an ecosystem. This is covered in the course. (v) The course emphasizes how important privacy and security are for consumer electronics and IoT-enabled gadgets. This information is essential for developing dependable and safe Internet of Things solutions, which is a vital component of IoT installations.

Duration: 60 hrs

Deliver Format: VILT

Courseware: VILT

Keywords: Arduino, ESP Boards, Raspberry, Application layer protocols: MQTT, Sensors, Actuators, Microcontrollers, IoT levels, IoT eco system

Pre-requisites: No

Audience: Any engineering and/or non-engineering student with basic understanding of mathematics

Description

The purpose of this course is to use interactive visualizations, charts, and graphs that are both aesthetically pleasing and informative to effectively communicate data insights. Finding trends, patterns, and opportunities hidden in data is a critical skill for decision-making, and data visualization can assist both individuals and organizations in doing so. It equips participants with the know-how and industry best practices required to produce powerful and convincing data visualizations that can be used in supply chain, business, finance, healthcare, and other domains. Many people and professionals who work with data, such as data scientists and analysts, business analysts, marketers, researchers, and data scientists, can benefit from this course. This course is beneficial for anyone who works with data and wants to learn how to effectively communicate insights through visualizations.

Duration: 60 hrs

Deliver Format: VILT

Courseware: VILT

Keywords: Machine Learning, SQL, Data, Storytelling, Excel, Tableau, Business domain

Pre-requisites: No

Audience: Any engineering and/or non-engineering student with basic understanding of mathematics

Description

Anyone who wants to build a solid foundation in cybersecurity should take this course. It is appropriate for both professionals looking to advance their knowledge and abilities in the field of cybersecurity and novices with no prior experience in the field. Those who handle sensitive data, such as IT specialists, managers, attorneys, government employees, and business owners, should take this course in particular. The course is also appropriate for anyone interested in a career in cybersecurity because it offers insightful information about the industry, potential career paths, and available certifications. This course is appropriate for a wide range of people with varying backgrounds and levels of expertise because it is designed to give a thorough overview of cybersecurity and its significance. The course covers a wide range of cybersecurity related subjects, such as data protection, threat analysis, and access control, in addition to useful tools and methods for risk management. After finishing this course, students will have a firm grasp of the fundamental ideas and concepts of cybersecurity, including how to secure online privacy, protect personal and corporate data, and fend off frequent threats. Along with practical advice on certifications and career possibilities, the course covers how to pursue a career in cybersecurity. Cybersecurity is more vital than ever in the modern digital world, and this course offers a great starting point for anyone wishing to acquire the abilities and know-how required to defend against online threats. By taking this course, learners will obtain the confidence and expertise need to easily address cybersecurity issues and support the creation of a more secure digital environment.

Duration: 60 hrs

Deliver Format: VILT

Courseware: VILT

Keywords: cyber security, Cyberwarfare, Threats, Online Privacy, Deception attacks, Cybersecurity Cube, Firewalls, Cryptography, Access Control, Digital Signatures, Database Integrity Enforcement, Certificates, Cybersecurity Specialist, Cybersecurity Education, Cybersecurity Education

Pre-requisites: No

Audience: Any engineering and/or non-engineering student with basic understanding of mathematics

Description

The use of machine learning to execute abilities in a professional setting is the focus of this course. This is taught using a coding platform to ensure that the correct abilities are gained; it is 40% theory and 60% practice. Statistics and machine learning algorithms, such as regression, classification, clustering, and association, are covered in the Python course. The project involves the ML model's training, validating, testing, and deployment.

Duration: 60 hrs

Deliver Format: VILT

Courseware: VILT

Keywords: Machine Learning, Python, Statistics, Regression, Classification, Clustering, Association

Pre-requisites: No

Audience: Any engineering and/or non-engineering student with basic understanding of mathematics

Description

Developed for the positions of Data Scientist, Data Analyst, and Data/ML Engineer. very practical. 60% practical, 40% theoretical. supplied with the platform for coding. In addition to statistics, the Python course delves deeply into regression, classification, clustering, association, natural language processing, and working with temporal data. The ML model is trained, validated, tested, optimized, and deployed in this project.

Duration: 200 hrs

Deliver Format: VILT

Courseware: VILT

Keywords: Machine Learning, Python, Statistics, Regression, Classification, Clustering, Association, NLP, Natural Language Processing, Auto Regressive Integrated Moving Average (ARIMA), Auto correlation function (ACF)

Pre-requisites: No

Audience: Any engineering and/or non-engineering student with basic understanding of mathematics

Description

Ideal for use in data scientist, data analyst, and data engineer positions. very practical. 60% practical, 40% theoretical. supplied with the platform for coding. In addition to a thorough study of regression, classification, clustering, association, and neural networks, the Python course covers statistics. The ML model is trained, validated, tested, optimized, and deployed in this project.

Duration: 200 hrs

Deliver Format: VILT

Courseware: VILT

Keywords: Machine Learning, Python, Statistics, Regression, Classification, Clustering, Association, Neural Network

Pre-requisites: No

Audience: Any engineering and/or non-engineering student with basic understanding of mathematics

Leading SAFe - European Time Zones

Take the Leading SAFe course to discover how companies can build business agility, and how to make SAFe work inside your organization. You'll learn how SAFe helps you improve quality, productivity, employee engagement, and time-to-market. You'll come away with an understanding of how to align your entire organization around the same clear objectives, and how to improve the flow of value and work from strategy to delivery. You'll learn what makes companies more customer-centric and how to run key SAFe alignment and planning events, like PI planning.

Materials presented in this 2 day class are the latest from SAI and upon completion you will be registered for the SAFe® SA Certification with Engaged Agility certification exam.

The 2-day course, exam, and 1 year of certification license is included in the price of the course

Upcoming SA Classes

Find our tutor LinkedIn below:
https://www.linkedin.com/in/pavankasikumar